pith:TYGMOWYB
DirectEdit: Step-Level Accurate Inversion for Flow-Based Image Editing
DirectEdit aligns forward paths in flow transformers to eliminate reconstruction drift in image editing without extra computations.
arxiv:2605.02417 v2 · 2026-05-04 · cs.CV
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Claims
DirectEdit eliminates the inherent reconstruction error without introducing additional neural function evaluations (NFEs) by directly aligning the forward paths, enabling precise reconstruction and reliable feature sharing.
That the flow transformer structure permits exact forward-path alignment at every timestep without extra NFEs or inconsistencies, and that attention feature injection plus mask-guided blending will not introduce new artifacts in diverse editing scenarios.
DirectEdit achieves step-level accurate inversion for flow-based image editing by directly aligning forward paths, using attention feature injection and mask-guided noise blending to balance fidelity and editability without additional NFEs.
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Receipt and verification
| First computed | 2026-05-28T02:04:48.867251Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9e0cc75b010610b2de789a7a4de2637bd6bf168fa6c2039c6ff2291909c155cd
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/TYGMOWYBAYILFXTYTJ5E3YTDPP \
| jq -c '.canonical_record' \
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Canonical record JSON
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